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Lingqiang Chen
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2020 – today
- 2023
- [j7]Tao Qi, Lingqiang Chen, Guanghui Li, Yijing Li, Chenshu Wang:
FedAGCN: A traffic flow prediction framework based on federated learning and Asynchronous Graph Convolutional Network. Appl. Soft Comput. 138: 110175 (2023) - [j6]Yiming Feng, Shihong Hu, Lingqiang Chen, Guanghui Li:
An intelligent scheduling framework for DNN task acceleration in heterogeneous edge networks. Comput. Commun. 201: 91-101 (2023) - [j5]Lingqiang Chen, Guanghui Li, Guangyan Huang, Qinglin Zhao:
A lightweight model using frequency, trend and temporal attention for long sequence time-series prediction. Neural Comput. Appl. 35(28): 21291-21307 (2023) - [i1]Lingqiang Chen, Qinglin Zhao, Guanghui Li, Mengchu Zhou, Chenglong Dai, Yiming Feng:
A Sparse Cross Attention-based Graph Convolution Network with Auxiliary Information Awareness for Traffic Flow Prediction. CoRR abs/2312.09050 (2023) - 2022
- [j4]Lingqiang Chen, Pei Shi, Guanghui Li, Tao Qi:
Traffic flow prediction using multi-view graph convolution and masked attention mechanism. Comput. Commun. 194: 446-457 (2022) - [j3]Tao Qi, Guanghui Li, Lingqiang Chen, Yanming Xue:
ADGCN: An Asynchronous Dilation Graph Convolutional Network for Traffic Flow Prediction. IEEE Internet Things J. 9(5): 4001-4014 (2022) - 2021
- [j2]Lingqiang Chen, Guanghui Li, Guangyan Huang:
A hypergrid based adaptive learning method for detecting data faults in wireless sensor networks. Inf. Sci. 553: 49-65 (2021) - [j1]Lingqiang Chen, Guanghui Li, Guangyan Huang, Pei Shi:
A Missing Type-Aware Adaptive Interpolation Framework for Sensor Data. IEEE Trans. Instrum. Meas. 70: 1-15 (2021) - 2020
- [c1]Lingqiang Chen, Li Xu, Guanghui Li:
Anomaly Detection Using Spatio-Temporal Correlation and Information Entropy in Wireless Sensor Networks. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 121-128
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